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README_zh.md

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-# 关于TexTeller
+---
+license: mit
+datasets:
+- OleehyO/latex-formulas
+metrics:
+- bleu
+pipeline_tag: image-to-text
+---
 
-TexTeller是一个基于ViT的端到端公式识别模型，可以把图片转换为对应的latex公式
+[中文版本](./README_zh.md)
 
-TexTeller用了550K的图片-公式对进行训练(数据集可以在[这里](https://huggingface.co/datasets/OleehyO/latex-formulas)获取)，相比于[LaTeX-OCR](https://github.com/lukas-blecher/LaTeX-OCR)(使用了一个100K的数据集)，TexTeller具有**更强的泛化能力**以及**更高的精确度**，可以**覆盖你大部分的使用场景**。
+# About TexTeller
 
-> 详情信息请参阅[TexTeller的github仓库](https://github.com/OleehyO/TexTeller?tab=readme-ov-file)
+* 📮[2024-03-25] TexTeller 2.0 released! The training data for TexTeller 2.0 has been increased to 7.5M (about **15 times more** than TexTeller 1.0 and also improved in data quality). The trained TexTeller 2.0 demonstrated **superior performance** in the test set, especially in recognizing rare symbols, complex multi-line formulas, and matrices.
+    > [There](https://github.com/OleehyO/TexTeller/blob/main/assets/test.pdf) are more test images here and a horizontal comparison of recognition models from different companies.
+
+TexTeller is a ViT-based model designed for end-to-end formula recognition. It can recognize formulas in natural images and convert them into LaTeX-style formulas.
+
+TexTeller is trained on a larger dataset of image-formula pairs (a 550K dataset available [here](https://huggingface.co/datasets/OleehyO/latex-formulas)), **exhibits superior generalization ability and higher accuracy compared to [LaTeX-OCR](https://github.com/lukas-blecher/LaTeX-OCR)**, which uses approximately 100K data points. This larger dataset enables TexTeller to cover most usage scenarios more effectively.
+
+> For more details, please refer to the 𝐓𝐞𝐱𝐓𝐞𝐥𝐥𝐞𝐫 [GitHub repository](https://github.com/OleehyO/TexTeller?tab=readme-ov-file).